I suspect that this might be one of the most important/impactful books that I will read this year...
https://experimentguide.com/
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing Paperback – March 31, 2020, by Ron Kohavi, Diane Tang, Ya Xu
https://www.amazon.com/Trustworthy-Online-Controlled-Experiments-Practical/dp/1108724264
Some additional reading suggestions:
- https://en.wikipedia.org/wiki/A/B_testing
- https://en.wikipedia.org/wiki/Randomized_experiment
- https://slides.nyhackr.org/presentations/AB%20Testing%20in%20the%20Wild.pdf
- https://hbr.org/2017/06/a-refresher-on-ab-testing
- Numbersense: How to Use Big Data to Your Advantage, 1st Edition (2013), by Kaiser Fung
- Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, (2016), by Eric Siegel
- An Introduction to Statistical Learning, with Applications in R
- How to Measure Anything: Finding the Value of Intangibles in Business, 3rd Edition, by Douglas W. Hubbard
- The Concept of EVI: Expected Value of Information
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